72 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- M. Moret3 · h 19
- Alexandre B. Tacla2 · h 6
- Clebson Cruz2 profiles2 · h 3
- C. Ledoux2 profiles2 · h 47
- D. M. Vieira2 · h 4
- J. Helayel-Neto2 · h 20
- John A. Mora Rodríguez2 profiles2 · h 0
- Marcelo A. Moret2 profiles2 · h 2
- M. D. dos Santos2 · h 0
- P. Petitjean2 profiles2 · h 77
- R. Guimaraes2 · h 3
- Ricardo. L. Mota2 · h 2
- Universidade SENAI CIMATECBR16 papers
- Universidade do Estado da BahiaBR3 papers
- Universidade Federal do Oeste da BahiaBR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Centro Brasileiro de Pesquisas FísicasBR2 papers
- European Southern ObservatoryCL2 papers
- Institut d'Astrophysique de ParisFR2 papers
- Inter-University Centre for Astronomy and AstrophysicsIN2 papers
- Technical University of DenmarkDK2 papers
- Universidade Estadual de Campinas (UNICAMP)BR2 papers
- Universidade Estadual de LondrinaBR2 papers
- Universidade Estadual Paulista (Unesp)BR2 papers
28 papers
An introductory review of the theory of continuous-variable quantum key distribution: Fundamentals, protocols, and security
Maron F Anka, John A. Mora Rodríguez, Douglas F. Pinto +3
Continuous-variable quantum key distribution (CV-QKD) has emerged as a promising approach for secure quantum communication, offering advantages such as high key generation rates, c…
Semi-device-independent randomness certification on discretized continuous-variable platforms
Moisés Alves, Vitor L. Sena, Santiago Zamora +4
Randomness is fundamental for secure communication and information processing. While continuous-variable optical systems offer an attractive platform for this task, certifying genu…
Variational quantum computing for quantum simulation: principles, implementations, and challenges
Lucas Q. Galvão, Anna Beatriz M. de Souza, Marcelo A. Moret +1
This work presents a comprehensive overview of variational quantum computing and their key role in advancing quantum simulation. This work explores the simulation of quantum system…
Cartan-Khaneja-Glaser decomposition of via involutive automorphisms
John A. Mora Rodríguez, Arthur C. R. Dutra, Henrique N. Sá Earp +1
We present a novel algorithm for performing the Cartan-Khaneja-Glaser decomposition of unitary matrices in , a critical task for efficient quantum circuit design. Building…
Quantum circuit evolutionary framework applied on set partitioning problem
Bruno Oziel Fernandez, Rodrigo Bloot, Marcelo Moret
Quantum algorithms are of great interest for their possible use in optimization problems. In particular, variational algorithms that use classical counterparts to optimize paramete…
Deterministic Underlying States are incompatible with a Counterfactual account of Lüders' rule
Alisson Tezzin, Bárbara Amaral, Jonte R. Hance
In this work, we show that a counterfactual account of L"uders' rule -- which we argue is naturally implied by the mathematical structure of the rule itself -- rules out underlying…
Coherence based on positive operator-valued measures for standard and concatenated quantum state discrimination with inconclusive results
L. F. Melo, O. Jiménez, L. Neves
The optimal measurement that discriminates nonorthogonal quantum states with fixed rates of inconclusive outcomes (FRIO) can be decomposed into an assisted separation of the inputs…
A Modular, Tendon Driven Variable Stiffness Manipulator with Internal Routing for Improved Stability and Increased Payload Capacity
Kyle L. Walker, Alix J. Partridge, Hsing-Yu Chen +5
Stability and reliable operation under a spectrum of environmental conditions is still an open challenge for soft and continuum style manipulators. The inability to carry sufficien…
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data
Sergio F. Chevtchenko, Monalisa C. M. dos Santos, Diego M. Vieira +5
With the support of Internet of Things (IoT) devices, it is possible to acquire data from degradation phenomena and design data-driven models to perform anomaly detection in indust…
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping
Sérgio F. Chevtchenko, Elisson da Silva Rocha, Monalisa Cristina Moura Dos Santos +4
Anomaly detection is critical in the smart industry for preventing equipment failure, reducing downtime, and improving safety. Internet of Things (IoT) has enabled the collection o…
Walking on Vertices and Edges by Continuous-Time Quantum Walk
Caue F. T. Silva, Daniel Posner, Renato Portugal
The quantum walk dynamics obey the laws of quantum mechanics with an extra locality constraint, which demands that the evolution operator is local in the sense that the walker must…
On the reduction of nonlinear electromechanical systems
Americo Cunha, Marcelo Pereira, Rafael Avanço +2
The present work revisits the reduction of the nonlinear dynamics of an electromechanical system through a quasi-steady state hypothesis, discussing the fundamental aspects of this…
Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature
Tiago Palma Pagano, Lucas Lemos Ortega, Victor Rocha Santos +6
Estimating heart rate is important for monitoring users in various situations. Estimates based on facial videos are increasingly being researched because it makes it possible to mo…
Batebit Controller: Popularizing Digital Musical Instruments Development Process
Filipe Calegario, João Tragtenberg, Giordano Cabral +1
In this paper, we present an ongoing research project related to popularizing the mindset of building new digital musical instruments. We developed a physical kit and software inte…
Low-latency Perception in Off-Road Dynamical Low Visibility Environments
Nelson Alves, Marco Ruiz, Marco Reis +7
This work proposes a perception system for autonomous vehicles and advanced driver assistance specialized on unpaved roads and off-road environments. In this research, the authors…
Analytical representation for amplitudes and differential cross section of pp elastic scattering at 13 TeV
E. Ferreira, A. K. Kohara, T. Kodama
With analytical representation for the pp scattering amplitudes introduced and tested at lower energies, a description of high precision is given of the data at =…
How Does ENSO Impact the Solar Radiation Forecast in South America? The Self-affinity Analysis Approach
Thiago B. Murari, Aloisio S. Nascimento Filho, Marcelo A. Moret +2
The major challenge we face today in the energy sector is to meet the growing demand for electricity with less impact on the environment. South America is an important player in th…
Non-Arrhenius behavior and fragile-to-strong transition of glass-forming liquids
Antonio Cesar do Prado Rosa Junior, Clebson Cruz, Wanisson Silva Santana +2
Characterization of the non-Arrhenius behavior of glass-forming liquids is a broad avenue for research toward the understanding of the formation mechanisms of noncrystalline materi…
Phase Transition and Electronic Structure Investigation of MoS-rGO Nanocomposite Decorated with AuNPs
Yunier Garcia-Basabe, Gabriela F. Peixoto, Daniel Grasseschi +5
In this work a simple approach to transform MoS from its metallic (1T' to semiconductor 2H) character via gold nanoparticle surface decoration of a MoS graphene oxide (rGO)…
Characterization of the non-Arrhenius behavior of supercooled liquids by modeling non-additive stochastic systems
Antonio Cesar do Prado Rosa Junior, Clebson Cruz, Wanisson Silva Santana +1
The characterization of the formation mechanisms of amorphous solids is a large avenue for research, since understanding its non-Arrhenius behavior is challenging to overcome. In t…
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures
Kai Olav Ellefsen, Herman A. Lepikson, Jan C. Albiez
An important open problem in robotic planning is the autonomous generation of 3D inspection paths -- that is, planning the best path to move a robot along in order to inspect a tar…
Computational Intelligence in Sports: A Systematic Literature Review
Robson P. Bonidia, Luiz A. L. Rodrigues, Anderson P. Avila-Santos +2
Recently, data mining studies are being successfully conducted to estimate several parameters in a variety of domains. Data mining techniques have attracted the attention of the in…
Fractional derivative models for atmospheric dispersion of pollutants
A. G. O. Goulart, M. J. Lazo, J. M. S. Suarez +1
In the present work, we investigate the potential of fractional derivatives to model atmospheric dispersion of pollutants. We propose simple fractional differential equation models…
Numerical stability of solitons waves through splices in optical fibers
Camila Fogaça de Oliveira, Paulo Laerte Natti, Eliandro Rodrigues Cirilo +2
The propagation of soliton waves is simulated through splices in optical fibers, in which fluctuations of dielectric parameters occur. The mathematical modeling of these local fluc…